Pravin Muthu

515 total citations
8 papers, 342 citations indexed

About

Pravin Muthu is a scholar working on Molecular Biology, Materials Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, Pravin Muthu has authored 8 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Materials Chemistry and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Pravin Muthu's work include Enzyme Structure and Function (3 papers), Product Development and Customization (2 papers) and Protein Structure and Dynamics (2 papers). Pravin Muthu is often cited by papers focused on Enzyme Structure and Function (3 papers), Product Development and Customization (2 papers) and Protein Structure and Dynamics (2 papers). Pravin Muthu collaborates with scholars based in United States, India and France. Pravin Muthu's co-authors include Jeffrey J. Gray, Hannah E. Bergman, Brian D. Weitzner, Sidhartha Chaudhury, Monica Berrondo, V. Dhanalakshmi, K. Sankaranarayanasamy, Stefan Lutz, Justin R. Porter and Ora Schueler‐Furman and has published in prestigious journals such as PLoS ONE, Biochemistry and Proteins Structure Function and Bioinformatics.

In The Last Decade

Pravin Muthu

8 papers receiving 334 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Pravin Muthu United States	6	212	61	49	43	37	8	342
John L. Moreland United States	6	161 0.8×	14 0.2×	38 0.8×	10 0.2×	18 0.5×	12	315
Ho Ki Fung United States	12	313 1.5×	6 0.1×	85 1.7×	62 1.4×	46 1.2×	13	435
Juan E. Diaz United States	12	259 1.2×	20 0.3×	14 0.3×	120 2.8×	18 0.5×	24	447
Fugang Yan China	7	238 1.1×	6 0.1×	32 0.7×	62 1.4×	77 2.1×	12	350
Kaiyu Wang China	8	207 1.0×	5 0.1×	61 1.2×	11 0.3×	13 0.4×	31	502
Patrick Weiß Germany	10	329 1.6×	10 0.2×	44 0.9×	7 0.2×	9 0.2×	22	461
Xueshun Wang China	7	180 0.8×	4 0.1×	15 0.3×	15 0.3×	26 0.7×	24	354
Constantin Radu United States	16	452 2.1×	5 0.1×	14 0.3×	9 0.2×	52 1.4×	41	779
Aaron Wolfe United States	13	197 0.9×	4 0.1×	61 1.2×	10 0.2×	8 0.2×	15	426
Jonathan Souquet Switzerland	19	925 4.4×	9 0.1×	16 0.3×	282 6.6×	11 0.3×	37	999

Countries citing papers authored by Pravin Muthu

Since Specialization

Citations

This map shows the geographic impact of Pravin Muthu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pravin Muthu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pravin Muthu more than expected).

Fields of papers citing papers by Pravin Muthu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pravin Muthu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pravin Muthu. The network helps show where Pravin Muthu may publish in the future.

Co-authorship network of co-authors of Pravin Muthu

This figure shows the co-authorship network connecting the top 25 collaborators of Pravin Muthu. A scholar is included among the top collaborators of Pravin Muthu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pravin Muthu. Pravin Muthu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Gupta, Nitish, et al.. (2018). A Novel Genetic Algorithm for Solving Machine Part Cell Formation Problem considering alternative Process Plans. Materials Today Proceedings. 5(5). 13574–13584. 2 indexed citations

2.

Muthu, Pravin & Stefan Lutz. (2016). Quantitative Detection of Nucleoside Analogues by Multi‐enzyme Biosensors using Time‐Resolved Kinetic Measurements. ChemMedChem. 11(7). 660–666. 4 indexed citations

3.

Muthu, Pravin, et al.. (2014). Redesigning Human 2′-Deoxycytidine Kinase Enantioselectivity for l-Nucleoside Analogues as Reporters in Positron Emission Tomography. ACS Chemical Biology. 9(10). 2326–2333. 7 indexed citations

4.

Kilambi, Krishna Praneeth, Michael S. Pacella, Jianqing Xu, et al.. (2013). Extending RosettaDock with water, sugar, and pH for prediction of complex structures and affinities for CAPRI rounds 20–27. Proteins Structure Function and Bioinformatics. 81(12). 2201–2209. 17 indexed citations

5.

Muthu, Pravin, et al.. (2012). Novel Protease Inhibitors via Computational Redesign of Subtilisin BPN′ Propeptide. Biochemistry. 51(41). 8247–8255. 5 indexed citations

6.

Chaudhury, Sidhartha, Monica Berrondo, Brian D. Weitzner, et al.. (2011). Benchmarking and Analysis of Protein Docking Performance in Rosetta v3.2. PLoS ONE. 6(8). e22477–e22477. 242 indexed citations

7.

Muthu, Pravin, V. Dhanalakshmi, & K. Sankaranarayanasamy. (2010). Design and manufacturing tolerances optimisation with quality loss functions. International Journal of Advanced Operations Management. 2(1/2). 90–90. 6 indexed citations

8.

Muthu, Pravin, V. Dhanalakshmi, & K. Sankaranarayanasamy. (2009). Optimal tolerance design of assembly for minimum quality loss and manufacturing cost using metaheuristic algorithms. The International Journal of Advanced Manufacturing Technology. 44(11-12). 1154–1164. 59 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact